Exercises -- Introduction -- Pittsburgh Coal Quality Case Study -- Correlation and Covariance -- Simple Linear Regression -- Multiple Regression -- Other Regression Procedures -- Nonlinear Models -- Summary -- Exercises -- Introduction -- Time Domain -- Frequency Domain -- Wavel…
This book presents several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling--all …
Advances and challenges in space-time modelling of natural events
by International Spring School Advances and Challenges in Space-Time Modelling of Natural Events, Toledo, Spain), Porcu, Emilio,, editor, Montero, José María,, editor, Schlather, Martin,, editor
fromLecture notes in statistics
Résumé : <p>This book arises as the natural continuation of the International Spring School "Advances and Challenges in Space-Time modelling of Natural Events, " which took place in Toledo (Spain) in March 2010. This Spring School above all focused on young researchers (Master s…
This book arises from the International Spring School 'Advances and Challenges in Space-Time modelling of Natural Events, ' which took place March 2010. It details recent developments, new methods and applications in spatial statistics and related areas.
This book arises as the natural continuation of the International Spring School "Advances and Challenges in Space-Time modelling of Natural Events," which took place in Toledo (Spain) in March 2010. This Spring School above all focused on young researchers (Master students, PhD …
"The monitoring of continuous phenomena like temperature, soil moisture or air pollutants is becoming more common due to the availability of cheaper and better sensor infrastructure. Better methods for processing, storing and provisioning the data produced by such observations a…
"The monitoring of continuous phenomena like temperature, soil moisture or air pollutants is becoming more common due to the availability of cheaper and better sensor infrastructure. Better methods for processing, storing and provisioning the data produced by such observations a…
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multi…
La 4e de couverture indique: "Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on t…
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multi…
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multi…
